---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-br
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-small-br

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5767
- Wer: 39.9748
- Cer: 15.0329

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.782         | 0.58  | 500  | 0.7847          | 61.4497 | 24.5285 |
| 0.3209        | 1.16  | 1000 | 0.6244          | 47.0028 | 17.7797 |
| 0.3041        | 1.74  | 1500 | 0.5578          | 45.1182 | 18.4874 |
| 0.1177        | 2.33  | 2000 | 0.5479          | 42.1620 | 16.4081 |
| 0.1234        | 2.91  | 2500 | 0.5353          | 41.6136 | 15.9008 |
| 0.0371        | 3.49  | 3000 | 0.5593          | 39.1428 | 14.7689 |
| 0.02          | 4.07  | 3500 | 0.5714          | 38.8591 | 14.7176 |
| 0.0115        | 4.65  | 4000 | 0.5767          | 39.9748 | 15.0329 |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2